Dynamic User Pairing and Power Allocation for Throughput Maximization in NOMA Systems

Hsiung, Cinnie; Huang, Rui; Zhou, Yong; Wong, Vincent W. S.

doi:10.1109/iccw.2019.8756777

Cited by 11 publications

(8 citation statements)

References 12 publications

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“…The impact of user grouping on NOMA performance is investigated in [11,56,[71][72][73][74][75][76][77][78][79][80][81][82][83]. The authors in [56] grouped users together whose channel gains differ significantly.…”

Section: Noma In Single-cell Single-tier Cellular Networkmentioning

confidence: 99%

“…Based on transmit power, users' targeted rates, and SIC constraints, the authors proposed an optimal user clustering and power allocation method which maximizes the overall system throughput. Hsiung et al [83] proposed a packet level scheduling scheme for BS that dynamically switches between NOMA or OMA. Further, the proposed scheduling method also obtains user pairing and power allocation for the considered NOMA system.…”

Section: Noma In Single-cell Single-tier Cellular Networkmentioning

confidence: 99%

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A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

et al. 2019

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The fifth generation (5G) wireless systems are anticipated to meet unprecedented capacity and latency requirements. In order to resolve these challenges in 5G, non-orthogonal multiple access (NOMA) is considered as a promising technique due to its ability to enhance spectrum efficiency and user access. As opposed to conventional orthogonal multiple access (OMA) which relies on orthogonal resource sharing, NOMA has a potential of supporting a higher number of users by multiplexing different users in the same resource in a non-orthogonal manner. With advanced receiver techniques, such as successive interference cancellation (SIC), the intra-user interference can be minimized at the NOMA receiver. To date, there are comprehensive surveys on NOMA, which describe the integration of NOMA with different communication technologies and discuss different NOMA classifications. However, the existing literature is scarce in reviewing state-of-the-art applications of NOMA from the perspective of its application to cellular networks (CNs), device-to-device (D2D) communications, and wireless sensor networks (WSNs). Therefore, the purpose of this survey is to fill this gap in knowledge. Specifically, NOMA with its underlying concepts are elaborated in detail. In addition, detailed system model of different NOMA-based wireless networks is presented. Furthermore, irrespective of the underlying spatial topology of the considered NOMA-based wireless network, general analytical expressions are presented to characterize the network performance. Finally, some challenges related to NOMA design are highlighted and potential research directions are pointed out to address these issues.

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Section: Noma In Single-cell Single-tier Cellular Networkmentioning

confidence: 99%

Section: Noma In Single-cell Single-tier Cellular Networkmentioning

confidence: 99%

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

et al. 2019

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“…Performance of PD-NOMA depends on the power allocation (PA) scheme and user paring (UP) or grouping criteria, 19 where improper power allocation may lead to interference among superposed users. This, in turn, will degrade the BER performance of these users.…”

Section: Introductionmentioning

confidence: 99%

On The Selection of Power Allocation Strategy in Power Domain Non‐Orthogonal Multiple Access (PD‐NOMA) for 6G and Beyond

Mounir

Mashade

Aboshosha

2021

Trans Emerging Tel Tech

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Non-orthogonal multiple access (NOMA) is an attractive candidate for 6G networks to support ultra-massive machine-type communications (umMTC). Power domain NOMA (PD-NOMA) is the simplest type of NOMA, which assigns a different power level to each user. Power allocation in PD-NOMA can be classified into fixed/dynamic power allocation (FPA/DPA). FPA is simple, but DPA is more suitable for the mobile environment than FPA. However, finding optimum power per each user in DPA is extremely complex. Fortunately, many DPA strategic design methods were introduced in literature as simple suboptimal solutions of DPA. Therefore, DPA strategic design methods and FPA techniques are simple approaches to implement PD-NOMA in 6G and beyond. In literature, no previous work had compared the performances of all DPA strategic design methods, nor FPA techniques, to ease the selection of a simple strategy for PD-NOMA in 6G. Motivated by that, this work compares performances of all DPA strategic design methods as well as FPA techniques, in terms of sum-rate capacity, fairness, and bit error rate (BER). Results showed that the best DPA strategic design method and the best FPA technique have comparable performance.

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“…Kim et al [2019. Superposition coding is used by the base station (BS) to broadcast in NOMA, while SIC is used to decode the signals. Combining this SIC with an interference cancellation combining receiver will boost capacity A.. Non-orthogonal multiple access may be divided into 2 categories which are the domains of code and power C Hsiung et al [2019]…”

mentioning

confidence: 99%

“…. Moreover, comparison of NOMA against OMA networks conveys that NOMA outperforms OMA and provide better spectral efficiency and user fairness (C Hsiung et al [2019]…”

mentioning

confidence: 99%

Untitled

2022

3C TIC

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In this paper, we investigate the existence of fixed points for Suzuki nonexpansive mappings in the setting of Banach spaces using the asymptotic center technique. We also establish the convergence of regular approximate fixed point sequence to the fixed points of Suzuki nonexpansive mappings. Examples are also given to illustrate the results. Our theorems generalize several results in the literature.

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Dynamic User Pairing and Power Allocation for Throughput Maximization in NOMA Systems

Cited by 11 publications

References 12 publications

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

On The Selection of Power Allocation Strategy in Power Domain Non‐Orthogonal Multiple Access (PD‐NOMA) for 6G and Beyond

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